The view and role of data has changed. Data has become a corporate asset and every organization has data treasures in its systems. But how do you as an organization get an overview and control of all the data that is scattered and often deeply hidden in the systems? How do you unlock and combine the data and ensure that all newly generated data can be used immediately?
For whom and why a data strategy?
The importance of dealing with data in a well-considered and responsible manner is felt in every organization. This is independent of how far organizations are in the field of data. Still, data is not used anywhere in a strategically structured way. A data strategy brings this view and structure. It contributes to supporting compliance in complying with laws and regulations and helps in taking the next steps in the digital transformation.
Broadening of the vision
The first step is to sharpen the view of data. Data was once seen as a by-product of business activities or processes. After the process was complete, data had limited value. Probably one or more applications had access to the follow-up data (for example, customer service, special reports and audits), but these were mostly one-off activities. These days it works differently. The value of data is accepted and data is the secret ingredient for many new business initiatives.
Data is money
Just as money and cash flows are recorded in the financial strategy and administration, the collection, management, sharing and utilization of data must also be recorded as business assets. Account must be taken of current business, technology and current agreements, as well as new goals and objectives for the future. The preparation of a solid data strategy therefore means that all facets of the company or organization are covered. A data strategy consists of different parts: points that every organization should include in the strategy.
Data connects all objectives
The organization objectives are based on the organization objectives. The data objectives are a strategic translation for the data from the organizational objectives. They clearly indicate how data should contribute to the realization of the organizational objectives. The in-depth focus is on the data wishes and requirements of all stakeholders. But not everything is desirable and for certain wishes extra-strict requirements such as those arising from privacy and cookie legislation must be taken into account
We are happy to explain the development process of a data strategy and take you further into the concrete steps that are followed.